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SDSC Summer Institute 2023

SDSC Summer Institute 2023 website: https://na.eventscloud.com/website/54186/

This repository hosts all material and slides of the presentations at the Summer Institute

Interactive Videos

  • A full catalog of all our trainings at SDSC can be found here.

Aliases, symlinks and reservations

For your convenience, we’ve create aliases and symlinks for the Summer Institute

  • srun-shared - start an interactive session on a shared compute node
  • srun-compute – start an interactive session on a compute node
  • srun-gpu-shared – start an interactive session on one GPU
  • jupyter-shared-spark – start a JupyteLab session for Spark on a shared compute node
  • jupyter-compute-tensorflow – start a JupyterLab session for TensorFlow session on a compute node
  • jupyter-gpu-shared-tensorflow – start a JupyterLab session for TensorFlow on one GPU
  • data – symlink to staged data In the event that you need to explicitly use the reservation, training accounts will have access to SI2021RES for duration of SI

Agenda

All times are in Pacific time.

Day 1 (Wednesday, 08/02/22)

TIME (Pacific time) TOPIC PRESENTER
9:00 AM - 11:00 AM 1.0 Preparation Day - Welcome & Orientation Robert Sinkovits

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Day 2 (Monday, 08/07/22)

TIME (Pacific time) TOPIC PRESENTER
8:00 AM – 8:30 AM Check-in & Registration
8:30 AM – 9:30 AM Welcome
8:15 AM – 9:15 AM 2.1 Parallel Computing Concepts Robert Sinkovits
9:30 AM - 10:15 AM 2.2 Hardware Overview Andreas Goetz
10:15 AM – 10:30 AM Break
10:30 AM – 12:00 PM 2.3 Intermediate Linux Andreas Goetz
12:00 PM - 1:30 PM Lunch
1:30 PM – 2:30 PM 2.4 Batch Computing Mary Thomas
2:30 PM – 2:45 PM Break
9:00 AM – 10:00 AM 2.5 Interactive Computing Mary Thomas
4:15 PM Q&A + Wrap-up
4:30 PM - 6:30 PM Reception

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Day 3 (Tuesday, 08/08/22)

TIME (Pacific time) TOPIC PRESENTER
8:00 AM – 8:30 AM Check-in & Light Breakfast
8:30 AM – 9:00 AM 3.1 Security Nicole Wolter
9:00 AM – 10:00 AM 3.2 Data Management Marty Kandes
10:00 AM – 10:15 AM Break
10:15 AM – 11:00 AM 3.3 Getting Help Nicole Wolter
11:00 AM – 12:00 PM 3.4 Code Migration Mahidhar Tatineni
12:00 PM - 1:30 PM Lunch
1:30 PM – 2:45 PM 3.5 High Throughput Computing Marty Kandes
2:45 PM - 3:00 PM Break
3:00 PM - 4:30 PM 3.6 Linux Tools for File Processing Robert Sinkovits
4:30 PM Q&A + Wrap-up

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Day 4 (Wednesday, 08/09/22)

TIME (Pacific time) TOPIC PRESENTER
8:00 AM – 8:30 AM Check-in & Light Breakfast
8:30 AM – 10:00 AM 4.1a Intro to Git & GitHub Mahidhar Tatineni
8:30 AM – 10:00 AM 4.1b Advanced Git & GitHub Marty Kandes
10:00 AM – 10:15 AM Break
10:15 AM – 12:30 PM 4.2a Python for HPC Andrea Zonca
10:15 AM – 12:30 PM 4.2b Information Visualization Concepts Neil Smith
12:30 PM - 2:00 PM Lunch
2:00 PM – 4:30 PM 4.3a Scientific Visualization for mesh based data with Unreal Engine 5 Neil Smith
2:00 PM – 4:30 PM 4.3b Scalable Machine Learning Mai Nguyen
Paul Rodriguez
4:30 PM Q&A + Wrap-up

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Day 5 (Thursday, 08/10/22)

TIME (Pacific time) TOPIC PRESENTER
8:00 AM – 8:30 AM Check-in & Light Breakfast
8:30 AM – 11:00 AM 5.1a Performance Tuning Robert Sinkovits
8:30 AM – 11:00 AM 5.1b Deep Learning - Part 1 Mai Nguyen
Paul Rodriguez
11:00 AM – 11:15 AM Break
11:15 AM - 12:15 PM 5.3 An Introduction to Singularity: Containers for Scientific and High-Performance Computing Marty Kandes
12:15 PM – 1:45 PM Lunch
1:45 PM – 4:30 PM 5.2a GPU Computing and Programming Andreas Goetz
1:45 PM – 4:30 PM 5.2b Deep Learning – Part 2 Mai Nguyen
Paul Rodriguez
4:30 PM Q&A + Wrap-up
6:00 PM - 8:00 PM Evening Dinner

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Day 6 (Friday, 08/11/22)

TIME (Pacific time) TOPIC PRESENTER
8:00 AM – 8:30 AM Check-in & Light Breakfast
8:30 AM – 11:30 AM 6.1a Parallel Computing using MPI & Open MP Mahidhar Tatineni
8:30 AM – 11:30 AM 6.1b A Short Introduction to Data Science and its Applications Ilkay Altintas
Subhasis Dasgupta
Shweta Purawat
11:30 AM – 12:15 PM 6.2 Scaling up Interactive Data Analysis in Jupyter Lab: From Laptop to HPC Peter Rose
12:15 PM – 12:30 PM Closing Remarks Robert Sinkovits

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Additional SDSC Resources

Voyager

The Voyager supercomputer is an innovative AI system designed specifically for science and engineering research at scale. Funded by the National Science Foundation, Voyager represents a collaboration with the San Diego Supercomputer Center at UC San Diego, Supermicro, and Intel’s Habana Lab focused on supporting research in science and engineering that is increasingly dependent upon artificial intelligence and deep learning as a critical element in the experimental and/or computational work.

  • Voyager: Exploring Habana processor-based AI focused hardware for Science and Engineering Training Session
  • Voyager User Guide HERE.
  • Voyager video HERE.

CloudBank

CoudBank is a managed service to simplify cloud access for computer science research. CloudBank overview video HERE. DCL funding opportunity for PIs who have existing CISE awards, details HERE.

SeedMe

SeedMe is a scientific data management framework for teams struggling with intractable data.
SeedMeLab overview talk HERE.

License

All the teaching material in this repository is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

If you are re-using this material, please cite our record on Zenodo

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